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Minzhi Li

Minzhi Li has 3 papers in our library, in 2023–2025, most of them on Language models & pretraining; often with Diyi Yang, Min-Yen Kan, Nancy Chen.

3 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 17 · 111 works · 1,348 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 151 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #7439

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Jiangsu UniversityZhenjiang · China2006–2026 · 50 paperscurrent🎓National University of SingaporeSingapore · Singapore2022–2026 · 7 paperscurrent🔬Institute for Infocomm ResearchSingapore · Singapore2023–2026 · 4 paperscurrent🎓Guangdong Medical CollegeZhanjiang · China2026 · 1 papercurrent🎓South China University of TechnologyGuangzhou · China2017–2025 · 6 papers🎓Tsinghua UniversityBeijing · China2010–2016 · 5 papers🎓Guangxi University of Chinese MedicineNanning · China2007–2013 · 5 papers🏥Shenzhen KangNing HospitalShenzhen · China2018–2019 · 3 papers🎓Georgia Institute of TechnologyAtlanta · United States2022–2025 · 2 papers🔬State Key Laboratory of Subtropical Building ScienceGuangzhou · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksGeneral Social Sciences · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20252 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation (2023 · 101 citations)
    Large language models such as ChatGPT can label text at zero-shot, cheaply and at scale. Earlier studies usually treated them as replacements for human annotators. This paper asks a different question: within one dataset, which items should go to the model and which to people? The proposed framework, CoAnnotating…
  2. Distilling an End-to-End Voice Assistant Without Instruction Training Data (2025 · 18 citations)
    End-to-end Speech LLMs are usually built with supervised finetuning on speech instruction data. That data is scarce, often recorded by few speakers, and the resulting models tend to lose abilities inherited from their text-only backbone. The authors propose the Distilled Voice Assistant (DiVA), which needs no…
  3. DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation (2025 · 10 citations)
    Using LLMs as judges of generated text is cheap and scalable, but how reliable they are remains unclear. Standard meta-evaluation asks a model once which of two responses is better and measures agreement with human labels. This hides the reasoning, so a model can match humans by luck. The authors propose DnA-Eval, a…

All works

8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data AnnotationConference on Empirical Methods in Natural Language Processing (EMNLP)Minzhi Li, Taiwei Shi, Caleb Ziems, et al.2023 · 101 citations
  2. Retrieving Multimodal Information for Augmented Generation: A Survey ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetRuochen Zhao et al.2023 · 96 citations
  3. Inducing Positive Perspectives with Text Reframing ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetCaleb Ziems et al.2022 · 68 citations
  4. Distilling an End-to-End Voice Assistant Without Instruction Training DataAnnual Meeting of the Association for Computational Linguistics (ACL)William Held, Yanzhe Zhang, Minzhi Li, et al.2025 · 18 citations
  5. DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and AggregationInternational Conference on Computational Linguistics (COLING)Minzhi Li, Zhengyuan Liu, Shumin Deng, et al.2025 · 10 citations
  6. Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetMinzhi Li et al.2024 · 7 citations
  7. Towards Social AI: A Survey on Understanding Social Interactions ↗arXiv (Cornell University) · no summary yetSangmin Lee et al.2024 · 5 citations
  8. Mind the Gap: Static and Interactive Evaluations of Large Audio Models ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMinzhi Li et al.2025 · 4 citations

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 151 times (of the 149,439 papers whose bibliographies we read); 34 citing papers with a page here →.

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